Medical Assistant-AI-driven medical assistant.

Example

A user reports experiencing a persistent cough and fever. Medical Assistant asks follow-up questions, such as the duration of the symptoms and any underlying conditions, to provide an assessment that considers possible causes like a common cold, flu, or COVID-19. Based on the input, it advises on whether to seek immediate care or manage the symptoms at home.

Scenario

A parent notices their child has a high fever and sore throat. Medical Assistant helps them assess whether it's likely strep throat or another condition, advising on the need for medical evaluation and potential testing.

Example

A user with a history of hypertension asks about dizziness. Medical Assistant considers their medical history and current medications while exploring potential causes, such as medication side effects or low blood pressure, before providing guidance.

Scenario

An elderly patient with diabetes reports foot numbness. Medical Assistant factors in the user's medical history, recognizing the risk of diabetic neuropathy, and advises appropriate next steps.

Example

A user inquires about safe exercise options after a knee injury. Medical Assistant offers tailored recommendations, taking into account the severity of the injury, pain levels, and any pre-existing conditions.

Scenario

Someone with a recent diagnosis of high cholesterol asks for dietary advice. Medical Assistant suggests evidence-based dietary changes, like increasing fiber intake and reducing saturated fats, customized to the user's needs.